AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection 事件

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection arXiv:2606.00016v1 Announce Type: new Abstract: Detecting AI-generated text is becoming increasingly challenging as modern language models approach human-level fluency and can evade detectors that rely on surface statistics or likelihood-based signals. We propose \textsc{AEyeDE}, an attribution-driven approach to human-AI authorship detection that leverages model attention as a discriminative signal. Specifically,